A COMPUTER VISION-BASED APPROACH FOR STORAGE LOCATIONS OCCUPANCY DETECTION USING DEEP LEARNING

Abstract

Increasing the efficiency of processes in warehouse facilities is now required in every industry. One of the important decision-making problems is the proper utilization of storage space. The paper presents research results on the application of architecture for storage location occupancy detection based on computer vision methods and deep learning models. The paper contains a detailed description of the developed solution and an estimation of the solution performance